The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-26"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "43483973 (up from 43004205 yesterday: 1.12 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1159397 (up from 1153862 yesterday: 0.48 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 8004922

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.67



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 8702750 66784 0.77 1245348 225706 477 0.21 2.59
India 7946429 36470 0.46 1261347 119502 488 0.41 1.50
Brazil 5409854 15726 0.29 482619 157397 263 0.17 2.91
Russia 1520800 17148 1.14 301004 26092 217 0.84 1.72
France 1209651 79508 7.04 545362 35052 379 1.09 2.90
Argentina 1102301 11712 1.07 292573 29301 405 1.40 2.66
Spain 1098320 52188 4.99 284908 35031 279 0.80 3.19
Colombia 1025052 9167 0.90 162894 30348 348 1.16 2.96
United Kingdom 897740 20900 2.38 379518 45088 102 0.23 5.02
Mexico 895326 4166 0.47 105546 89171 247 0.28 9.96
Peru 888715 0 0.00 60546 34149 0 0.00 3.84
South Africa 716759 891 0.12 34544 19008 40 0.21 2.65
Iran 574856 5960 1.05 99182 32953 337 1.03 5.73
Italy 542789 17007 3.23 215203 37479 141 0.38 6.90
Chile 503598 1535 0.31 31852 14003 59 0.42 2.78
Iraq 455398 3691 0.82 72449 10671 48 0.45 2.34
Germany 450258 12560 2.87 145585 10091 29 0.29 2.24
Bangladesh 400251 1436 0.36 30119 5818 15 0.26 1.45
Indonesia 392934 3222 0.83 85814 13411 112 0.84 3.41
Philippines 371630 1602 0.43 46868 7039 62 0.89 1.89
Turkey 363999 2198 0.61 37953 9874 75 0.77 2.71
Ukraine 359348 5625 1.59 123019 6641 75 1.14 1.85
Saudi Arabia 345232 357 0.10 8466 5313 17 0.32 1.54
Pakistan 329375 773 0.24 13648 6745 6 0.09 2.05
Belgium 321031 0 0.00 188828 10810 0 0.00 3.37
Israel 310851 905 0.29 38542 2453 56 2.34 0.79
Netherlands 307831 10365 3.48 166573 7134 26 0.37 2.32
Czechia 268370 10273 3.98 182804 2365 164 7.45 0.88
Poland 263929 10241 4.04 161849 4483 45 1.01 1.70
Canada 222973 4099 1.87 51589 10026 31 0.31 4.50
Romania 212492 2844 1.36 75001 6470 79 1.24 3.04
Morocco 199745 2264 1.15 65050 3373 72 2.18 1.69
Ecuador 162178 543 0.34 20839 12573 20 0.16 7.75
Nepal 159830 1741 1.10 70567 862 15 1.77 0.54
Bolivia 140952 99 0.07 3845 8658 13 0.15 6.14
Qatar 131432 262 0.20 4740 230 0 0.00 0.17
Panama 129751 551 0.43 13832 2638 5 0.19 2.03
United Arab Emirates 126234 1111 0.89 26501 480 3 0.63 0.38
Dominican Republic 124843 316 0.25 9789 2225 2 0.09 1.78
Kuwait 122317 682 0.56 14725 749 3 0.40 0.61
Portugal 121133 2447 2.06 41248 2343 27 1.17 1.93
Switzerland 121093 17440 16.83 65161 2111 28 1.34 1.74
Oman 113354 422 0.37 11540 1190 16 1.36 1.05
Kazakhstan 110684 142 0.13 2388 1796 0 0.00 1.62
Sweden 110594 0 0.00 16311 5933 0 0.00 5.36
Egypt 106707 167 0.16 2926 6211 12 0.19 5.82
Guatemala 104894 107 0.10 10712 3651 7 0.19 3.48
Costa Rica 104460 1372 1.33 23331 1312 30 2.34 1.26
Japan 97503 408 0.42 11476 1721 5 0.29 1.77
Honduras 93966 752 0.81 13946 2633 10 0.38 2.80
Belarus 93707 884 0.95 13011 961 4 0.42 1.03
Ethiopia 93707 364 0.39 14270 1437 11 0.77 1.53
China 91175 24 0.03 523 4739 0 0.00 5.20
Venezuela 90047 482 0.54 10930 777 4 0.52 0.86
Austria 83267 2456 3.04 34371 992 13 1.33 1.19
Bahrain 80533 278 0.35 7417 316 4 1.28 0.39
Armenia 78810 973 1.25 26133 1196 16 1.36 1.52
Lebanon 72186 796 1.12 26529 579 14 2.48 0.80
Moldova 71811 308 0.43 14910 1700 15 0.89 2.37
Uzbekistan 65667 360 0.55 6721 552 3 0.55 0.84
Nigeria 62111 119 0.19 2646 1132 2 0.18 1.82
Hungary 61563 2316 3.91 30083 1472 47 3.30 2.39
Paraguay 60109 515 0.86 15394 1333 24 1.83 2.22
Ireland 58067 939 1.64 19518 1885 3 0.16 3.25
Singapore 57973 3 0.01 154 28 0 0.00 0.05
Libya 57223 1210 2.16 19786 801 6 0.75 1.40
Algeria 56419 276 0.49 4149 1922 8 0.42 3.41
Kyrgyzstan 56170 420 0.75 8535 1134 0 0.00 2.02
Jordan 55055 1968 3.71 37591 624 45 7.77 1.13
Tunisia 52399 3600 7.38 30169 983 164 20.02 1.88
West Bank and Gaza 50952 510 1.01 8995 454 6 1.34 0.89
Azerbaijan 50486 527 1.05 9698 679 8 1.19 1.34
Kenya 49997 276 0.56 10548 920 18 2.00 1.84
Ghana 47775 85 0.18 946 316 0 0.00 0.66
Burma 46200 1426 3.18 27419 1122 27 2.47 2.43
Slovakia 45155 1312 2.99 31663 165 6 3.77 0.37
Denmark 41919 1056 2.58 11373 708 6 0.85 1.69
Bosnia and Herzegovina 41596 703 1.72 13147 1104 18 1.66 2.65
Afghanistan 40937 104 0.25 1515 1518 4 0.26 3.71
Bulgaria 40132 2243 5.92 18262 1136 42 3.84 2.83
Serbia 39827 341 0.86 5875 793 1 0.13 1.99
Croatia 37208 828 2.28 19411 452 15 3.43 1.21
El Salvador 32925 340 1.04 3386 953 4 0.42 2.89
Greece 31496 714 2.32 11354 581 7 1.22 1.84
Georgia 30303 1872 6.58 21607 215 14 6.97 0.71
Malaysia 27805 1240 4.67 14992 236 7 3.06 0.85
Australia 27539 14 0.05 366 905 0 0.00 3.29
North Macedonia 27199 245 0.91 8326 934 15 1.63 3.43
Korea, South 26043 88 0.34 1804 460 3 0.66 1.77
Slovenia 24080 1130 4.92 17407 251 11 4.58 1.04
Cameroon 21793 223 1.03 869 426 1 0.24 1.95
Cote d’Ivoire 20486 16 0.08 601 122 0 0.00 0.60
Albania 19445 288 1.50 5035 480 3 0.63 2.47
Norway 18342 433 2.42 3737 279 0 0.00 1.52
Kosovo 17943 0 0.00 2088 663 0 0.00 3.70
Madagascar 16968 0 0.00 398 244 0 0.00 1.44
Montenegro 16909 112 0.67 4550 270 4 1.50 1.60
Zambia 16200 83 0.51 1111 348 0 0.00 2.15
Senegal 15565 14 0.09 443 322 1 0.31 2.07
Finland 14970 122 0.82 4268 354 1 0.28 2.36
Luxembourg 14399 1548 12.05 5474 147 6 4.26 1.02
Sudan 13747 5 0.04 94 837 0 0.00 6.09
Namibia 12675 15 0.12 1021 133 0 0.00 1.05
Mozambique 12161 175 1.46 2865 88 2 2.33 0.72
Guinea 11635 0 0.00 835 71 0 0.00 0.61
Uganda 11557 114 1.00 2592 101 0 0.00 0.87
Maldives 11532 27 0.23 965 37 0 0.00 0.32
Congo (Kinshasa) 11174 31 0.28 396 305 0 0.00 2.73
Lithuania 10949 765 7.51 5664 136 2 1.49 1.24
Tajikistan 10819 43 0.40 845 81 0 0.00 0.75

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 910438 3842 0.42 74931 17386 28 0.16 1.91 23041.93 440.02 1 in 43
Texas 898302 6296 0.71 103983 17978 23 0.13 2.00 30980.33 620.02 1 in 32
Florida 782013 3377 0.43 64139 16449 20 0.12 2.10 36410.40 765.86 1 in 27
New York 496655 1191 0.24 31140 33424 2 0.01 6.73 25530.29 1718.14 1 in 39
Illinois 383687 4729 1.25 77599 9792 17 0.17 2.55 30278.76 772.74 1 in 33
Georgia 351881 958 0.27 28167 7827 18 0.23 2.22 33141.85 737.18 1 in 30
North Carolina 261742 1643 0.63 41988 4170 13 0.31 1.59 24956.13 397.59 1 in 40
Tennessee 249866 2279 0.92 46167 3163 32 1.02 1.27 36566.61 462.89 1 in 27
Arizona 238964 801 0.34 17894 5875 1 0.02 2.46 31381.14 771.51 1 in 32
New Jersey 229684 1216 0.53 20971 16292 7 0.04 7.09 25858.94 1834.23 1 in 39
Pennsylvania 201248 2535 1.28 32147 8659 12 0.14 4.30 15720.06 676.38 1 in 64
Wisconsin 201049 2883 1.45 66690 1788 10 0.56 0.89 34530.06 307.09 1 in 29
Ohio 200231 2116 1.07 40267 5217 11 0.21 2.61 17129.72 446.31 1 in 58
Alabama 185322 967 0.52 25609 2866 0 0.00 1.55 37796.25 584.52 1 in 26
Louisiana 180069 227 0.13 11557 5854 17 0.29 3.25 38734.56 1259.25 1 in 26
Michigan 179669 4057 2.31 36943 7552 30 0.40 4.20 17990.54 756.19 1 in 56
Virginia 173663 889 0.51 21341 3577 2 0.06 2.06 20345.92 419.07 1 in 49
Missouri 173514 1718 1.00 38140 2816 -4 -0.14 1.62 28271.45 458.82 1 in 35
South Carolina 171501 823 0.48 19342 3823 21 0.55 2.23 33309.48 742.52 1 in 30
Indiana 164581 1974 1.21 38605 4143 13 0.31 2.52 24446.77 615.40 1 in 41
Massachusetts 151777 1212 0.80 16315 9881 17 0.17 6.51 21839.98 1421.83 1 in 46
Maryland 140844 565 0.40 13053 4099 3 0.07 2.91 23296.63 678.00 1 in 43
Minnesota 135372 1570 1.17 30573 2406 4 0.17 1.78 24003.69 426.62 1 in 42
Oklahoma 117399 663 0.57 25417 1251 2 0.16 1.07 29668.91 316.15 1 in 34
Iowa 117198 960 0.83 23938 1657 22 1.35 1.41 37145.93 525.19 1 in 27
Mississippi 115763 675 0.59 15060 3263 8 0.25 2.82 38896.91 1096.38 1 in 26
Arkansas 106727 612 0.58 19297 1833 21 1.16 1.72 35365.54 607.39 1 in 28
Utah 106083 1201 1.15 27360 574 2 0.35 0.54 33089.33 179.04 1 in 30
Washington 103500 587 0.57 13224 2321 25 1.09 2.24 13591.79 304.80 1 in 74
Kentucky 97866 924 0.95 24708 1410 3 0.21 1.44 21905.36 315.60 1 in 46
Colorado 97277 2211 2.33 23762 2226 3 0.13 2.29 16892.07 386.54 1 in 59
Nevada 96178 475 0.50 13741 1745 1 0.06 1.81 31225.04 566.53 1 in 32
Kansas 76979 1163 1.53 15148 969 13 1.36 1.26 26423.17 332.61 1 in 38
Connecticut 68099 2047 3.10 8979 4589 12 0.26 6.74 19100.57 1287.13 1 in 52
Nebraska 64499 702 1.10 16240 603 7 1.17 0.93 33343.02 311.72 1 in 30
Puerto Rico 63135 632 1.01 11830 804 3 0.37 1.27 19768.64 251.75 1 in 51
Idaho 60041 697 1.17 15619 580 7 1.22 0.97 33503.81 323.65 1 in 30
New Mexico 42586 723 1.73 11954 976 9 0.93 2.29 20309.72 465.46 1 in 49
Oregon 42436 335 0.80 7387 655 2 0.31 1.54 10061.32 155.30 1 in 99
South Dakota 39741 538 1.37 15143 375 0 0.00 0.94 44922.39 423.89 1 in 22
North Dakota 38241 522 1.38 14379 461 5 1.10 1.21 50180.96 604.94 1 in 20
Rhode Island 31024 906 3.01 5605 1184 7 0.59 3.82 29285.58 1117.65 1 in 34
Montana 28501 621 2.23 13654 303 6 2.02 1.06 26666.90 283.50 1 in 37
Delaware 24168 207 0.86 2805 685 4 0.59 2.83 24819.16 703.46 1 in 40
West Virginia 22224 317 1.45 5475 426 1 0.24 1.92 12435.46 238.37 1 in 80
District of Columbia 16812 45 0.27 1265 642 0 0.00 3.82 23821.50 909.67 1 in 42
Hawaii 14709 37 0.25 1855 212 0 0.00 1.44 10388.65 149.73 1 in 96
Alaska 13356 348 2.68 4743 68 0 0.00 0.51 18257.25 92.95 1 in 55
Wyoming 11477 436 3.95 4848 77 9 13.24 0.67 19830.36 133.04 1 in 50
New Hampshire 10397 69 0.67 1752 475 2 0.42 4.57 7646.48 349.34 1 in 131
Maine 6251 52 0.84 707 146 0 0.00 2.34 4650.31 108.61 1 in 215
Vermont 2083 10 0.48 266 58 0 0.00 2.78 3338.20 92.95 1 in 300

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 17982829 910438 5.06 2681148 74931 2.79 455120.7
2 Texas 7809150 898302 11.50 1237473 103983 8.40 269319.3
3 Florida 5984749 782013 13.07 572066 64139 11.21 278649.0
4 New York 13834240 496655 3.59 2537216 31140 1.23 711141.8
5 Illinois 7330929 383687 5.23 1403234 77599 5.53 578522.1
6 Georgia 3461388 351881 10.17 428631 28167 6.57 326010.2
7 North Carolina 3872913 261742 6.76 678997 41988 6.18 369267.9
8 Tennessee 3569435 249866 7.00 554771 46167 8.32 522368.5
9 Arizona 1714801 238964 13.94 211928 17894 8.44 225190.4
10 New Jersey 4455234 229684 5.16 697176 20971 3.01 501591.8
11 Pennsylvania 2437125 201248 8.26 331966 32147 9.68 190370.8
12 Wisconsin 1989820 201049 10.10 375588 66690 17.76 341750.5
13 Ohio 4235663 200231 4.73 847477 40267 4.75 362360.1
14 Alabama 1307694 185322 14.17 140181 25609 18.27 266703.0
15 Louisiana 2702566 180069 6.66 311546 11557 3.71 581347.8
16 Michigan 4652388 179669 3.86 833561 36943 4.43 465851.1
17 Virginia 2525421 173663 6.88 385430 21341 5.54 295872.0
18 Missouri 2420611 173514 7.17 1061943 38140 3.59 394401.5
19 South Carolina 1733232 171501 9.89 344126 19342 5.62 336634.0
20 Indiana 2734945 164581 6.02 1309770 38605 2.95 406247.2
21 Massachusetts 5723873 151777 2.65 1352823 16315 1.21 823637.8
22 Maryland 3287956 140844 4.28 1619639 13053 0.81 543852.1
23 Minnesota 2684014 135372 5.04 514228 30573 5.95 475920.1
24 Oklahoma 1534423 117399 7.65 285367 25417 8.91 387777.2
25 Iowa 866323 117198 13.53 78309 23938 30.57 274581.2
26 Mississippi 845307 115763 13.69 39949 15060 37.70 284027.1
27 Arkansas 1294845 106727 8.24 215701 19297 8.95 429065.6
28 Utah 1037256 106083 10.23 171076 27360 15.99 323540.1
29 Washington 2360387 103500 4.38 424488 13224 3.12 309969.8
30 Kentucky 1809871 97866 5.41 356093 24708 6.94 405103.7
31 Colorado 1842254 97277 5.28 411714 23762 5.77 319906.0
32 Nevada 791321 96178 12.15 74757 13741 18.38 256909.4
33 Kansas 625931 76979 12.30 84825 15148 17.86 214851.9
34 Connecticut 2207937 68099 3.08 481216 8979 1.87 619287.3
35 Nebraska 569834 64499 11.32 92882 16240 17.48 294578.0
37 Idaho 370741 60041 16.19 52574 15619 29.71 206879.2
38 New Mexico 1118844 42586 3.81 170899 11954 6.99 533588.6
39 Oregon 830284 42436 5.11 121272 7387 6.09 196855.3
40 South Dakota 247094 39741 16.08 46651 15143 32.46 279309.9
41 North Dakota 790536 38241 4.84 147867 14379 9.72 1037364.4
42 Rhode Island 1067142 31024 2.91 246837 5605 2.27 1007345.0
43 Montana 476325 28501 5.98 106350 13654 12.84 445672.5
44 Delaware 342071 24168 7.07 46236 2805 6.07 351287.4
45 West Virginia 736376 22224 3.02 139845 5475 3.92 412040.0
46 District of Columbia 498190 16812 3.37 96622 1265 1.31 705902.5
47 Hawaii 505255 14709 2.91 199143 1855 0.93 356850.8
48 Alaska 570844 13356 2.34 91470 4743 5.19 780326.6
49 Wyoming 125163 11477 9.17 19001 4848 25.51 216261.0
50 New Hampshire 585210 10397 1.78 119332 1752 1.47 430392.9
51 Maine 588653 6251 1.06 121971 707 0.58 437916.8
52 Vermont 186058 2083 1.12 18552 266 1.43 298175.1

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1648665 0 0.00 1470660 89.20 134137 43348 0 0 2.63
Andhra Pradesh 808924 0 0.00 773548 95.63 28770 6606 0 0 0.82
Karnataka 805947 0 0.00 719558 89.28 75423 10947 0 0 1.36
Tamil Nadu 711713 0 0.00 671489 94.35 29268 10956 0 0 1.54
Uttar Pradesh 472068 0 0.00 438512 92.89 26654 6902 0 0 1.46
Kerala 397218 0 0.00 302017 76.03 93745 1353 0 0 0.34
Delhi 359488 0 0.00 327390 91.07 25786 6312 0 0 1.76
West Bengal 353822 0 0.00 310086 87.64 37190 6546 0 0 1.85
Odisha 282695 0 0.00 266105 94.13 15278 1312 0 0 0.46
Telangana 231834 0 0.00 211912 91.41 18611 1311 0 0 0.57
Bihar 212705 0 0.00 202007 94.97 9639 1058 0 0 0.50
Assam 204386 0 0.00 188584 92.27 14891 908 0 0 0.44
Rajasthan 188048 0 0.00 169962 90.38 16233 1853 0 0 0.99
Chhattisgarh 177608 0 0.00 153654 86.51 22093 1861 0 0 1.05
Gujarat 168081 0 0.00 150750 89.69 13638 3693 0 0 2.20
Madhya Pradesh 167969 0 0.00 154222 91.82 10857 2890 0 0 1.72
Haryana 159457 0 0.00 147566 92.54 10154 1737 0 0 1.09
Punjab 131391 0 0.00 123047 93.65 4219 4125 0 0 3.14
Jharkhand 99906 0 0.00 93368 93.46 5666 872 0 0 0.87
Jammu and Kashmir 92225 0 0.00 83485 90.52 7296 1444 0 0 1.57
Uttarakhand 60744 0 0.00 55188 90.85 4080 1001 0 0 1.65
Goa 42532 0 0.00 39433 92.71 2517 582 0 0 1.37
Puducherry 34336 0 0.00 29990 87.34 3758 588 0 0 1.71
Tripura 30254 0 0.00 28046 92.70 1845 340 0 0 1.12
Himachal Pradesh 20586 0 0.00 17760 86.27 2508 288 0 0 1.40
Manipur 17424 0 0.00 13057 74.94 4223 144 0 0 0.83
Arunachal Pradesh 14391 0 0.00 12182 84.65 2174 35 0 0 0.24
Chandigarh 14085 0 0.00 13230 93.93 633 222 0 0 1.58
Meghalaya 9020 0 0.00 7332 81.29 1604 81 0 0 0.90
Nagaland 8663 37 0.43 6720 77.57 1833 27 2 8 0.31
Ladakh 5978 0 0.00 5216 87.25 691 71 0 0 1.19
Andaman and Nicobar Islands 4253 0 0.00 3997 93.98 198 58 0 0 1.36
Sikkim 3840 0 0.00 3448 89.79 245 65 0 0 1.69
Dadra and Nagar Haveli and Daman and Diu 3226 0 0.00 3147 97.55 51 2 0 0 0.06
Mizoram 2493 0 0.00 2209 88.61 284 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2737039 157933 3570 2.31 5.77 2459 242 50325 17252 10.92
Piemonte 955500 57160 1625 2.93 5.98 1849 102 21267 4273 7.48
Emilia-Romagna 1488534 47877 1146 2.45 3.22 816 93 15769 4564 9.53
Veneto 2246098 45466 1129 2.55 2.02 612 76 18047 2332 5.13
Campania 871772 40594 1981 5.13 4.66 1191 123 30675 587 1.45
Lazio 1313163 35936 1698 4.96 2.74 1599 158 24406 1116 3.11
Toscana 1013957 33461 2171 6.94 3.30 779 110 19376 1275 3.81
Liguria 412289 23470 419 1.82 5.69 788 46 6442 1704 7.26
Sicilia 647327 17465 568 3.36 2.70 677 98 10945 439 2.51
Puglia 526008 14970 424 2.91 2.85 589 59 8279 673 4.50
Marche 304340 11678 238 2.08 3.84 227 26 3922 1004 8.60
Friuli Venezia Giulia 511144 8495 334 4.09 1.66 119 27 3285 377 4.44
Abruzzo 270057 8414 348 4.31 3.12 249 21 4353 524 6.23
Sardegna 250901 7990 231 2.98 3.18 303 35 4920 192 2.40
P.A. Trento 276004 7905 113 1.45 2.86 81 5 1440 426 5.39
Umbria 278289 7558 263 3.61 2.72 239 31 4583 108 1.43
P.A. Bolzano 221307 6755 321 4.99 3.05 152 12 3501 299 4.43
Calabria 260121 3970 180 4.75 1.53 108 9 2184 108 2.72
Valle d’Aosta 38331 2669 144 5.70 6.96 75 2 1316 154 5.77
Basilicata 96556 1704 8 0.47 1.76 66 6 1009 44 2.58
Molise 59951 1319 101 8.29 2.20 19 3 640 28 2.12

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 100922 808 0.81 6153 10 0.16 6.10 11820.78 720.69 1 in 85
Ontario 73984 841 1.15 3151 10 0.32 4.26 5028.88 214.18 1 in 199
Alberta 25733 1472 6.07 307 7 2.33 1.19 5830.99 69.56 1 in 171
British Columbia 13371 817 6.51 259 3 1.17 1.94 2616.16 50.68 1 in 382
Manitoba 4349 100 2.35 55 1 1.85 1.26 3157.13 39.93 1 in 317
Saskatchewan 2783 54 1.98 25 0 0.00 0.90 2355.15 21.16 1 in 425
Nova Scotia 1101 1 0.09 65 0 0.00 5.90 1126.39 66.50 1 in 888
New Brunswick 331 3 0.91 6 0 0.00 1.81 424.36 7.69 1 in 2356
Newfoundland and Labrador 291 1 0.34 4 0 0.00 1.37 558.15 7.67 1 in 1792
Prince Edward Island 64 0 0.00 0 0 NaN 0.00 404.66 0.00 1 in 2471
Yukon 22 2 10.00 0 0 NaN 0.00 535.57 0.00 1 in 1867
Northwest Territories 9 0 0.00 0 0 NaN 0.00 200.43 0.00 1 in 4989

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5303 105 1.98
Guangdong 1909 8 0.42
Henan 1283 22 1.71
Zhejiang 1283 1 0.08
Shanghai 1142 7 0.61
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 949 13 1.37
Beijing 941 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 846 7 0.83
Sichuan 736 3 0.41
Jiangsu 670 0 0.00
Chongqing 589 6 1.02
Shaanxi 447 3 0.67
Fujian 431 1 0.23
Hebei 371 6 1.62
Liaoning 283 2 0.71
Inner Mongolia 278 1 0.36
Guangxi 260 2 0.77
Tianjin 260 3 1.15
Shanxi 212 0 0.00
Yunnan 211 2 0.95
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 26597.65 689.81 1 in 38
India 5934.60 89.25 1 in 169
Brazil 25847.37 752.02 1 in 39
Russia 10524.57 180.57 1 in 95
France 18057.19 523.24 1 in 55
Argentina 24899.50 661.87 1 in 40
Spain 23538.79 750.77 1 in 42
Colombia 20889.59 618.46 1 in 48
United Kingdom 13512.04 678.63 1 in 74
Mexico 6929.77 690.18 1 in 144
Peru 27625.58 1061.52 1 in 36
South Africa 12636.79 335.12 1 in 79
Iran 7083.00 406.03 1 in 141
Italy 8974.69 619.69 1 in 111
Chile 27900.17 775.79 1 in 36
Iraq 11899.61 278.83 1 in 84
Germany 5438.56 121.89 1 in 184
Bangladesh NA NA 1 in NA
Indonesia 1488.39 50.80 1 in 672
Philippines 3542.71 67.10 1 in 282

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 302077 7027 2.33
Miami-Dade Florida 183250 3624 1.98
Cook Illinois 178832 5439 3.04
Harris Texas 159617 2785 1.74
Maricopa Arizona 155458 3557 2.29
Dallas Texas 93939 1229 1.31
Broward Florida 84338 1520 1.80
Clark Nevada 79782 1497 1.88
Queens New York 76523 7293 9.53
Kings New York 74903 7387 9.86
Riverside California 66993 1303 1.94
Bexar Texas 64941 1402 2.16
Tarrant Texas 64727 815 1.26
San Bernardino California 63367 1073 1.69
Orange California 58980 1454 2.47
Bronx New York 55213 4987 9.03
San Diego California 55210 877 1.59
Palm Beach Florida 51172 1565 3.06
Nassau New York 49496 2208 4.46
Suffolk New York 48829 2019 4.13
Hillsborough Florida 47371 762 1.61
Salt Lake Utah 45969 298 0.65
Orange Florida 45492 546 1.20
Philadelphia Pennsylvania 43365 1864 4.30
El Paso Texas 42332 596 1.41
Wayne Michigan 40396 3050 7.55
Westchester New York 40322 1470 3.65
Milwaukee Wisconsin 40143 578 1.44
Shelby Tennessee 36855 568 1.54
New York New York 35897 3195 8.90
Hidalgo Texas 35281 1934 5.48
Hennepin Minnesota 34657 994 2.87
Duval Florida 34619 515 1.49
Kern California 33928 416 1.23
Mecklenburg North Carolina 33552 386 1.15
Franklin Ohio 32767 642 1.96
Prince George’s Maryland 32499 854 2.63
Davidson Tennessee 32175 341 1.06
Travis Texas 31775 449 1.41
Middlesex Massachusetts 31594 2257 7.14
Fulton Georgia 31038 619 1.99
Fresno California 30969 439 1.42
Gwinnett Georgia 30489 443 1.45
St. Louis Missouri 30135 885 2.94
Utah Utah 28353 79 0.28
Suffolk Massachusetts 27992 1171 4.18
Pima Arizona 27703 636 2.30
King Washington 26599 809 3.04
Marion Indiana 26255 795 3.03
Sacramento California 25601 491 1.92
Montgomery Maryland 25438 869 3.42
Pinellas Florida 25414 818 3.22
Oakland Michigan 25069 1237 4.93
Bergen New Jersey 24795 2058 8.30
Santa Clara California 24425 392 1.60
Essex New Jersey 24177 2142 8.86
Cameron Texas 24085 1079 4.48
Oklahoma Oklahoma 23881 231 0.97
Jefferson Alabama 23573 377 1.60
Fairfax Virginia 23534 605 2.57
Alameda California 23471 462 1.97
Essex Massachusetts 23418 1342 5.73
DuPage Illinois 23408 608 2.60
Fairfield Connecticut 23090 1433 6.21
Lee Florida 23058 509 2.21
Hudson New Jersey 22837 1528 6.69
Polk Florida 22762 615 2.70
Jefferson Kentucky 22204 356 1.60
Douglas Nebraska 22081 218 0.99
Middlesex New Jersey 21939 1444 6.58
Cobb Georgia 21867 454 2.08
Tulsa Oklahoma 21829 201 0.92
San Joaquin California 21729 489 2.25
Providence Rhode Island 21543 930 4.32
Nueces Texas 21219 442 2.08
DeKalb Georgia 21101 398 1.89
Lake Illinois 21010 511 2.43
Wake North Carolina 20953 270 1.29
Passaic New Jersey 20662 1261 6.10
Cuyahoga Ohio 20582 686 3.33
Baltimore Maryland 20419 665 3.26
Union New Jersey 19918 1369 6.87
Polk Iowa 19173 289 1.51
Will Illinois 18807 429 2.28
Contra Costa California 18763 242 1.29
Jefferson Louisiana 18687 585 3.13
Macomb Michigan 18548 1087 5.86
Denver Colorado 18037 449 2.49
Collin Texas 17883 177 0.99
Rockland New York 17832 683 3.83
Hamilton Ohio 17719 344 1.94
Stanislaus California 17714 398 2.25
Lubbock Texas 17703 170 0.96
Hartford Connecticut 17672 1470 8.32
Tulare California 17590 288 1.64
Baltimore City Maryland 17581 501 2.85
Fort Bend Texas 17556 307 1.75
Greenville South Carolina 17482 343 1.96
Richland South Carolina 17182 269 1.57
Richmond New York 17174 1095 6.38

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc